{"id":"W2098405556","doi":"10.1111/evo.12352","title":"INCIPIENT SPECIATION OF SEA STAR POPULATIONS BY ADAPTIVE GAMETE RECOGNITION COEVOLUTION","year":2014,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biology; Reproductive isolation; Evolutionary biology; Genetic algorithm; Coevolution; Gamete; Antagonistic Coevolution; Sexual selection; Gene; Genetics; Concerted evolution; Gene flow; Sperm; Negative selection; Selection (genetic algorithm); Genome; Genetic variation; Sexual conflict; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001642217,0.00009453738,0.00009292335,0.00006120581,0.00009841025,0.000006912425,0.0000643195,0.0001413579,0.0000638306],"category_scores_gemma":[0.00009310272,0.0001067012,0.00006035839,0.0001200062,0.00004342762,0.00001070102,0.00003403481,0.00005255496,0.00002958145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005462992,"about_ca_system_score_gemma":0.00002420749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001358501,"about_ca_topic_score_gemma":0.0001184792,"domain_scores_codex":[0.9991823,0.0001102184,0.0001971503,0.0002081515,0.0001804579,0.0001216908],"domain_scores_gemma":[0.9994066,0.000006263949,0.000179793,0.0001639301,0.0001970271,0.00004641198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006888023,0.0003231063,0.1572803,0.0000685078,0.0001516014,3.216295e-7,0.0004004778,0.006876379,0.7190946,0.005462768,0.07755837,0.03209468],"study_design_scores_gemma":[0.001682876,0.001031227,0.8749916,0.00004348824,0.0001333066,0.000008624233,0.0002612148,0.01141767,0.06628057,0.009648509,0.03395277,0.0005481368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9091052,0.0001361802,0.08936965,0.00006175446,0.0002739887,0.000159754,0.00018661,0.00001333073,0.0006935486],"genre_scores_gemma":[0.9935143,0.00001427915,0.004154347,0.00004702421,0.0001633397,0.000004491773,0.001904531,0.000007598239,0.000190109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7177113,"threshold_uncertainty_score":0.4351149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878037138559408,"score_gpt":0.2244386945555593,"score_spread":0.2056583231699653,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}